יום חמישי, 29.12.2011, 11:30
חדר 337, בניין טאוב למדעי המחשב
Online video content has grown enormously, such that it is a huge proportion of
newly-created content. There are an estimated four billion different video
links available to consumers for watching online. YouTube users alone are
currently uploading about half a million videos a day. The leading mobile
platforms iOS, Android and Windows are provided with ever larger phone screens
for convenient video viewing, and even more so are the various tablets such as
the iPad. Furthermore, the industry has only just begun the competition over
the online TV experience (e.g. Google TV, Xbox Live), together with all its
companion apps (e.g. Xfinity).
In this new era of video-content explosion the need to organize all of the
world's videos for optimal discovery and viewing dictates that cutting-edge
visual recognition technologies be applied. For scalability, it is impractical
to spend more than a couple of milliseconds processing a single video frame.
Videosurf (of which I am chief technology officer) is a silicon valley company
recently sold to Microsoft that has tackled some of these issues. In this talk
I will describe a few of the video analysis techniques that Videosurf has
developed to facilitate discovery and viewing of online video content.